Examination of blood samples using deep learning and mobile microscopy

被引：0
|
作者：
Juliane Pfeil
Alina Nechyporenko
Marcus Frohme
Frank T. Hufert
Katja Schulze
机构：
[1] Technical University of Applied Sciences,Molecular Biology and Functional Genomics
[2] Kharkiv National University of Radio Electronics,Institute for Microbiology and Virology
[3] Brandenburg Medical School Theodor Fontane,undefined
[4] Oculyze GmbH,undefined
[5] Mobile Microscopy and Computer Vision,undefined
来源：
BMC Bioinformatics | / 23卷
关键词：
Mobile microscopy; Blood cell detection; Machine learning; Deep learning; Instance segmentation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] DeepMEC: Mobile Edge Caching Using Deep Learning
    Thar, Kyi
    Tran, Nguyen H.
    Oo, Thant Zin
    Hong, Choong Seon
    IEEE ACCESS, 2018, 6 : 78260 - 78275
  • [22] Air quality monitoring using mobile microscopy and machine learning
    Yi-Chen Wu
    Ashutosh Shiledar
    Yi-Cheng Li
    Jeffrey Wong
    Steve Feng
    Xuan Chen
    Christine Chen
    Kevin Jin
    Saba Janamian
    Zhe Yang
    Zachary Scott Ballard
    Zoltán Göröcs
    Alborz Feizi
    Aydogan Ozcan
    Light: Science & Applications, 2017, 6 : e17046 - e17046
  • [23] Air quality monitoring using mobile microscopy and machine learning
    Wu, Yi-Chen
    Shiledar, Ashutosh
    Li, Yi-Cheng
    Wong, Jeffrey
    Feng, Steve
    Chen, Xuan
    Chen, Christine
    Jin, Kevin
    Janamian, Saba
    Yang, Zhe
    Ballard, Zachary Scott
    Gorocs, Zoltan
    Feizi, Alborz
    Ozcan, Aydogan
    LIGHT-SCIENCE & APPLICATIONS, 2017, 6 : e17046 - e17046
  • [24] Blood cell characterization based on deep learning and diffraction phase microscopy
    Ali, Nauman
    Liu, Xin
    Wang, Wenjian
    Liu, Ruihua
    Zhuo, Kequn
    Ma, Ying
    Gao, Peng
    OPTICS COMMUNICATIONS, 2024, 561
  • [25] Using Deep Learning for Blood Cells Detection
    Cruz, Anthony
    Garcia, Cristiano Mesquita
    Feitosa, Samuel da Silva
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2024, 16 (01): : 1 - 10
  • [26] Deep Learning in Mobile and Wireless Networking: A Survey
    Zhang, Chaoyun
    Patras, Paul
    Haddadi, Hamed
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (03): : 2224 - 2287
  • [27] Instance segmentation of quartz in iron ore optical microscopy images by deep learning
    Ferreira, Bernardo Amaral Pascarelli
    Augusto, Karen Soares
    Iglesias, Julio Cesar Alvarez
    Caldas, Thalita Dias Pinheiro
    Santos, Richard Bryan Magalhaes
    Paciornik, Sidnei
    MINERALS ENGINEERING, 2024, 211
  • [28] Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning
    DiSpirito, Anthony, III
    Li, Daiwei
    Vu, Tri
    Chen, Maomao
    Zhang, Dong
    Luo, Jianwen
    Horstmeyer, Roarke
    Yao, Junjie
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 40 (02) : 562 - 570
  • [29] Performance enhancement of fluorescence microscopy by using deep learning (invited)
    Xiong Z.
    Song L.
    Liu X.
    Zuo C.
    Gao P.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2022, 51 (11):
  • [30] Surface Plasmons Phase Imaging Microscopy using Deep Learning
    Pechprasarn, Suejit
    Sasivimolkul, Suvicha
    Sukkasem, Chayanisa
    Suvarnaphaet, Phitsini
    Thongpance, Nuntachai
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PHOTONICS, OPTICS AND LASER TECHNOLOGY (PHOTOPTICS), 2020, : 33 - 39
12345